In research of binocular vision feature extraction and match algorithm

this paper proposes a kind of new corner detection and matching fusion algorithm on purposes of improving such three indicators as matching rates

corner locating accuracy and time complexity.For extracted Harris corners

the algorithm can cope with correlation coefficient matching after zero-means normalization. And SIFT corners can be treated with nearest neighbor matching.The RANSAC algorithm can be applied to rid mismatching points in case of foreseeable mismatching. After simulation

RANSAC can eliminate most mismatching points and SIFT -NN performs better than Harris zero-means normalization correlation coefficient matching.